Visceral leishmaniasis is one of the world deadliest and neglected infectious diseases. Therefore, it is important elaborating a good strategic control for this disease. In this project, our general objectives include how to plan the optimization of visceral leishmaniasis control, taking into account the economic approach. This research will not involve experiments and clinical study. […]

We are testing a novel approach that enables us to create structures with specific sizes and shapes within aerogel using syringe pumps and 3D printers. This method enables specific internal pore structure design. This is possible because freeze-drying removes ice structures placed within the wet gel. Once the aerogel is lyophilized, it will have cavities […]

The research will portray the institutional evolution of post-reform China’s compensation and resettlement mechanism for land expropriation through a case study in Shanghai’s urban fringe region. The project will incorporate archive studies (Phase I), interviews with various stakeholders (Phase II), and ground surveys with affected rural households (Phase II). The study will not only probe […]

6G is the next generation of wireless network technologies. 6G signals are millimeter-waves, which are highly prone to blockage from obstacles such as trees or buildings. Due to this, behavior of the wireless environment is highly probabilistic and coverage holes can appear. This project aims to develop a reconfigurable intelligent surface (RIS) which has the […]

The transition from incarceration to the community (i.e., reintegration) is often characterized by uncertainty, unease, and instability. While there is a strong understanding reintegrative barriers like a lack of safe and stable housing, employment, and social support, reintegration is often characterized as a series of distinct challenges that determine its success. This overlooks how previously […]

Climate change has emerged as one of the most critical problems of the 21st century, driven by the rise in greenhouse gas emissions. The polymer electrolyte membrane fuel cell (PEMFC) is a device that converts chemical energy into clean electricity with zero emissions. The proposed research aims to utilize machine learning algorithms to predict the […]

This proposed project aims to develop a control model that can counteract gait asymmetries in human walking. Gait asymmetries can arise in two different scenarios. It can be introduced from the environment, such as uneven terrain or strong winds, that would cause the body to need to adjust its motion to stay balanced. It can […]

The proposed project aims to develop a method for three-dimensional reconstruction of manual work using multiple RGB-D cameras and a thermal camera. This innovative approach will enable the digital archiving of intangible cultural heritage, such as traditional craft techniques and dance performances, which are currently predominantly documented in 2D formats. By integrating rich information about […]

The overall goal for the Active Worker Strategy is to increase movement within the workplace. Office workers tend to be inactive within their working environment, which may cause an increased risk of developing work-related pain later in life. This investigation is going to look into creating office layout guidelines in order to promote a more […]

The main purpose of this cluster proposal is to test the hypothesis of whether the Customer Services & Support Department of Bombardier Commercial Aircraft Division can develop new business models to transform itself into a profit center within the Bombardier’s organization. To carry out this test, a thorough investigation of the after-sale needs, wants and […]

The effective planning of resources when scheduling maintenance tasks and repair jobs is an enormous challenge, especially for heavy industries such as aerospace and transportation manufacturers. In such industries, because of the product complexity and variety, not to mention continuous technological improvements, a broad range of maintenance tasks and high-performance services should be done over […]

The central idea of this project is the observation that publications using systematic time series feature extraction from the Open Source machine learning library tsfresh, always need to visualize and explain the extracted features. Due to the fact that tsfresh uses 168 algorithms to compute up to 800 time series features, this process can be […]